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26

book article

Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of missile autopilotAstrov, Igor; Pedai, Andrus; Rüstern, EnnuWCICA 2004 : Fifth World Congress on Intelligent Control and Automation : June 15-19, 2004, Hangzhou, China : conference proceedings. Vol. 32004 / p. 2603-2607 : ill

book article
27

book article

Simulation of two-rate adaptive neural network and fuzzy logic hybrid control for stochastic model of an experimental aircraftAstrov, Igor; Pedai, Andrus; Rüstern, EnnuCanadian Conference on Electrical and Computer Engineering 2004 = Conference canadienne en genie electrique et informatique : May 2-5, 2004, Fallsview Sheraton, Niagara Falls, Canada : proceedings. Vol. 12004 / p. 125-128 : ill

book article
28

book article EST / book article ENG

Simultaneous road edge and road surface markings detection using convolutional neural networksPihlak, Rene; Riid, AndriDatabases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 / p. 109-121 https://doi.org/10.1007/978-3-030-57672-1_9 Conference proceeding at Scopus Article at Scopus

book article EST / book article ENG
29

book article EST / book article ENG

Speech-based identiﬁcation of children’s gender and age with neural networksPiel, Leo Kristopher; Alumäe, TanelHuman Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 20182018 / p. 104-111 https://doi.org/10.3233/978-1-61499-912-6-104 Conference proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
30

journal article EST / journal article ENG

Trends and challenges in intelligent condition monitoring of electrical machines using machine learningKudelina, Karolina; Vaimann, Toomas; Asad, Bilal; Rassõlkin, Anton; Kallaste, Ants; Demidova, GalinaApplied sciences2021 / art. 2761, 19 p. : ill https://doi.org/10.3390/app11062761 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Seotud publikatsioonid 1
- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
31

book article

Triple fixed-point MAC unit for deep learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, ThomasProceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference2021 / p. 1404-1407 https://doi.org/10.23919/DATE51398.2021.9474020

book article
Seotud publikatsioonid 1
- Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
32

book article

Wind energy forecasting using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Ahmadiahangar, Roya; Iqbal, Muhammad Naveed; Rosin, Argo2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)2019 / 5 p. : ill https://doi.org/10.1109/BdKCSE48644.2019.9010593

book article
33

journal article EST / journal article ENG

Virtual inertia control of isolated microgrids using an NN-based VFOPID controllerŠkiparev, Vjatšeslav; Nosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Belikov, Juri; Guerrero, Joseph M.IEEE Transactions on sustainable energy2023 / p. 1558-1568 https://doi.org/10.1109/TSTE.2023.3237922 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega

Number of records 33, displaying 26 - 33

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1. artificial neural networks
2. artificial neural networks (ANN)
3. Constrained neural networks
4. convolutional neural networks
5. convolutional neural networks (CNNa)
6. Convolutional Neural Networks (CNNs)
7. deep neural networks
8. deep neural networks (DNNs)
9. Fuzzy neural networks
10. neural networks
11. pre-trained neural networks
12. recurrent neural networks
13. recurrent neural networks (RNN)
14. artificial neural network
15. Binarized Neural Network (BNN)
16. cascaded forward neural network (CFNN)
17. Convolutional Neural Network
18. convolutional neural network (CNN)
19. deep convolutional neural network
20. deep neural network
21. deep neural network compression
22. feedforward neural network (FFNN)
23. Graph Convolutional Neural Network (GCN)
24. GraphSAGE (Graph Based Neural Network)
25. human neural progenitor cells
26. linear Delta robots neural network based model
27. neural activity
28. neural architecture search
29. neural controller
30. neural development
31. neural fuzzy modelling control
32. neural network
33. neural network architecture search
34. neural network controller
35. neural network predictive controller
36. neural oscillations
37. neural processing unit
38. neural stimulation
39. Radial Basis Function Neural Network (RBFNN)
40. recurrent neural network language model
41. spiking neural network (SNN)
42. Ternary Neural Network
43. adaptive networks
44. ad-hoc sensor networks security
45. automotive communication networks
46. Bayesian Belief Networks
47. Bayesian networks
48. binary search networks
49. binary sensor networks
50. body area networks
51. body sensor networks
52. cellular networks
53. communication networks
54. complex networks
55. computer networks
56. content distribution networks
57. content-addressable storage networks
58. convolutional networks
59. cross-border communication networks
60. developmental networks
61. diffusion networks
62. digital twin networks (DTNs)
63. distribution networks
64. district heating networks
65. Dynamic networks
66. dynamics over networks
67. ecological networks
68. economic networks
69. electric power transmission networks
70. electrical distribution networks
71. electrical networks
72. embedded networks/NoC
73. gateways (computer networks)
74. generative adversarial networks
75. geodetic networks
76. global production networks
77. heating networks
78. hypar-formed networks
79. IaaS cloud networks
80. Impedance-source networks
81. innovation networks
82. IP networks
83. iterative networks
84. knowledge networks
85. location-based social networks
86. logistics networks
87. low voltage networks
88. low-voltage networks
89. lumped parameter networks
90. marketing networks
91. metabolic networks and pathways
92. mobile actuator-sensor networks (MAS-Net)
93. multilayer networks
94. NB-IoT networks
95. networks
96. networks coding
97. neuro-fuzzy networks and guided missile
98. non-terrestrial networks
99. observational networks
100. on-body networks (BANs)
101. Online social networks
102. Optical fiber networks
103. optical fibre networks
104. optical networks
105. optimized routing approach for critical and emergency networks
106. optimized routing approach for critical and emergency networks simulations
107. packet switched networks
108. partner networks
109. Passive networks
110. phantom cellular networks
111. private networks
112. production networks
113. Public safety networks
114. public safety networks (PSN)
115. public safety networks (PSNs)
116. reconfigurable scan networks
117. regional innovation networks
118. scale-free networks
119. sensor networks
120. small district heating networks
121. SME networks
122. social networks
123. social networks
124. software defined networks (SDN)
125. sorting networks
126. supply networks
127. transmission networks
128. unreliable wireless networks
129. WBANs (wireless body area networks)
130. wearable wireless networks
131. wearable wireless networks (WWNs)
132. weighted networks
133. wireless ad hoc sensor networks
134. Wireless Body Area Networks
135. wireless body area networks (WBANs)
136. wireless body-to-body networks (BBN)
137. wireless sensor networks
138. virtual networks
139. 5G networks
140. 5G networks

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